Distinguished Engineer, Frontier Agentic AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct research, define, and shape the future of AI in cybersecurity at the Cybersecurity Superintelligence Lab.

• Grasp the trajectory of AI, explore innovative methods in cybersecurity, and develop systems that enhance defender operations.

• Predict advancements in models and agentic systems anticipated over the next 12–24 months.

• Create applications and systems that encompass models, agents, security data, tools, and execution environments.

• Collaborate across areas such as autonomous investigation, threat hunting, adversary simulation, detection, response, and remediation.

• Contribute original technical insights while guiding team direction.

• Identify research questions, formulate strategies, construct prototypes, establish rigorous evaluations, and transition successful research into capabilities that operate at CrowdStrike's scale.

• Monitor cutting-edge AI developments and assess their applicability in cybersecurity.

• Establish research trajectories and technical methodologies.

• Design holistic cybersecurity AI systems that reason across security contexts, utilize tools, coordinate, and execute intricate security tasks.

• Enhance system performance through investigations, adversary behavior analysis, simulations, and expert feedback.

• Collaborate with threat researchers, incident responders, red teamers, and other security professionals.

• Develop benchmarks, cyber environments, and evaluation frameworks to measure efficacy, reliability, performance, and cost.

• Lead research and architectural decisions across teams.

• Mentor senior researchers and engineers, facilitating alignment through prototypes, experiments, and evidence.

• Transform research breakthroughs into production systems capable of handling high-volume security data and adaptive adversaries.

• Represent CrowdStrike through research publications, open-source contributions, technical collaborations, and engagement with the AI and cybersecurity research communities.

⛳️ Requirements

• PhD in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Neuroscience, or a related quantitative discipline.

• A proven track record of original contributions at the intersection of AI and cybersecurity, including research or systems that introduced novel capabilities, approaches, or applications.

• Extensive cybersecurity knowledge acquired through significant technical experience in threat hunting, detection and response, vulnerability research, adversary behavior, security analytics, or security automation.

• Ability to independently recognize critical security challenges and opportunities for AI application.

• Profound hands-on experience in designing and constructing end-to-end AI systems that integrate models, reasoning, tools, data, and execution environments.

• Strong applied research instincts and quantitative rigor, which includes hypothesis formulation, experimental design, credible baselines, and evidence-based analysis.

• Experience transitioning complex ML or AI systems from research prototypes to practical implementation.

• Proven technical leadership across teams, which involves setting research and engineering direction, mentoring senior technical personnel, and influencing significant decisions through technical expertise and evidence.

• Research or engineering background with autonomous or multi-agent systems, long-horizon reasoning, adversary simulation, or closed-loop security systems.

• Familiarity with adversarial learning, reinforcement learning, model post-training, synthetic data, or other methodologies to enhance AI systems through interaction and feedback.

• Experience in developing AI systems for high-volume, latency-sensitive cybersecurity environments.

• Experience architecting and constructing extensible AI or agentic platforms for developing, evaluating, optimizing, and deploying advanced AI applications at scale.

• Contributions to significant research, open-source software, or technical communities within AI and cybersecurity.

🏝️ Benefits

• Competitive compensation and equity awards.

• Comprehensive programs for physical and mental wellness.

• Generous vacation and holiday policies for rest and rejuvenation.

• Paid parental and adoption leave.

• Opportunities for professional development available to all employees, regardless of their level or role.

• Employee Networks, local community groups, and volunteer opportunities to foster connections.

• A vibrant office culture complemented by world-class amenities.

• Health insurance coverage.

• 401k plan.

• Paid time off.

• Eligibility for bonuses.

• Equity grants.